The Brain & Neural Networks
Online ISSN : 1883-0455
Print ISSN : 1340-766X
ISSN-L : 1340-766X
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Volume 7, Issue 3
Displaying 1-6 of 6 articles from this issue
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  • Influence of Processed Visual Information of Objects on Computation of Hand Shapes in Human Grasping Movements
    Hiroshi Fukuda, Naohiro Fukumura, Yoji Uno
    2000 Volume 7 Issue 3 Pages 79-89
    Published: September 05, 2000
    Released on J-STAGE: January 31, 2011
    DOIhttps://doi.org/10.3902/jnns.7.79
    JOURNAL FREE ACCESS
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    From the viewpoint of computational theory, it has been postulated herein that certain properties of objects are extracted from their visual images for visuo-motor transformation in human grasping movements. To examine the computational feasibility of this hypothesis, a five-layer neural network model has been constructed for transforming the visual images of objects into the prehensile hand shape. After sufficient learning, the property information corresponding to the size and shape of objects was extracted in the third layer. The values of the third-layer and output-layer units changed widely for shadingless images and only slightly for blurred images, in comparison with the original images. Essentially the same results were obtained from a psychophysical experiment conducted on human grasping movements with the same images (original, shadingless and blurred) as those used in the neural network study, thus supporting the plausibility of the present computational hypothesis.
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